About the program
The AI apprentice program is a six-month intensive training experience that bridges traditional software engineering with the emerging world of AI-driven development. This isn't just another coding bootcamp. It's about mastering the craft of building intelligent systems and learning to deliver AI solutions that actually solve real problems.
We designed this program for engineers who see the AI revolution happening and want to be part of shaping it, not just watching from the sidelines.
The program is designed for people who:
- Have solid software engineering fundamentals and want to advance into the AI era
- Are already working in tech but need to level up their AI and agent development skills
- Want to master the art of AI consulting and client delivery
- Come with curiosity about how AI transforms traditional software development
Working with us provides cutting-edge experience where you will:
- Build production-ready AI applications and agent systems with real client teams
- Master the consulting mindset while delivering AI solutions that create genuine business value
- Learn to pair program with AI tools and integrate them into your development workflow
- Develop the soft skills needed to communicate complex AI concepts to non-technical stakeholders
What you will learn & master
During your six months with us, you'll work alongside our AI-focused Dwarves on these essential areas:
Part 1: Consulting fundamentals
Learn how to work effectively with clients and deliver value through AI solutions.
Core consulting skills
- Focus on objectives and measurable outcomes
- Master clear, confident communication with technical and non-technical audiences
- Navigate client expectations and manage project scope
- Work effectively in cross-functional teams
- Collaborate with client teams while maintaining professional boundaries
- Present complex AI concepts in accessible language
- Handle feedback and iterate based on client needs
Software engineering foundation
While we expect you to have basic programming knowledge, we'll strengthen your foundation:
- Understand project objectives and how they translate to technical requirements
- Master the software development lifecycle in an AI context
- Apply version control (Git) and modern development environments
- Plan effectively using agile methodologies
- Facilitate productive meetings and maintain clear communication channels
- Use collaborative tools that keep distributed teams aligned
Part 2: Traditional apps vs. agent applications
Understand the fundamental differences between conventional software and AI-powered systems.
Traditional application architecture
- Component-based design patterns
- Data flow in conventional applications
- State management and user interaction patterns
- API design and integration approaches
Agent application architecture
- Understanding autonomous agents and their decision-making processes
- Data flow in AI-driven systems
- Prompt engineering and LLM integration patterns
- Managing uncertainty and probabilistic outputs
- Designing for human-AI collaboration
- Building feedback loops and learning systems
Part 3: Pair programming with AI
Master the art of working alongside AI coding assistants to amplify your capabilities.
LLM as development partner
- Effective prompt engineering for code generation
- Using AI assistants for debugging and code review
- Integrating AI tools into your development workflow
- Understanding when to trust AI suggestions and when to rely on human judgment
- Building AI-assisted testing and documentation practices
Advanced AI integration
- Fine-tuning models for specific use cases
- Working with embeddings and vector databases
- Implementing retrieval-augmented generation (RAG) systems
- Building custom AI tools and agents
- Monitoring and improving AI system performance
Part 4: Research, experimentation, and knowledge sharing
Develop the mindset of an AI practitioner who stays current with rapid technological change.
Research and experimentation
- Evaluate emerging AI tools and frameworks
- Design and conduct experiments to validate AI approaches
- Measure the effectiveness of AI solutions
- Stay current with AI research and industry developments
Knowledge sharing and presentation
- Document your learning journey and technical discoveries
- Present findings to technical and business audiences
- Contribute to the broader AI community through writing and speaking
- Mentor others who are beginning their AI journey
Part 5: Building your AI expertise
Identify your strengths within the AI landscape to build a sustainable career as an AI engineer.
Specialization paths
- Machine learning engineering
- AI product development
- AI consulting and strategy
- Research and development
- AI ethics and safety
Building your reputation
- Ship AI projects that demonstrate real-world impact
- Develop your unique perspective on AI development
- Build a portfolio that showcases your AI capabilities
- Network within the AI community and establish thought leadership
Program timeline
Here's what you'll experience during your intensive six months:
Your first month: Foundation building
- Technical assessment: Evaluate your current skills and identify areas for growth
- Group workshops: Dive deep into AI fundamentals, consulting basics, and our development practices through weekly intensive sessions
- Pairing with seniors: Work directly with experienced AI engineers on live client projects
- First checkpoint: Review progress and adjust learning path based on your strengths
Next three months: Client project immersion
- Full team integration: Join one of our AI consulting teams as a contributing member
- Client interaction: Participate in client meetings, requirements gathering, and solution presentation
- Hands-on development: Build real AI applications that solve actual business problems
- Weekly mentoring: One-on-one sessions focused on both technical skills and consulting capabilities
- Mid-program review: Comprehensive evaluation of your growth and areas for continued focus
Final two months: Specialization and leadership
- Choose your path: Focus on your preferred AI specialization while continuing client work
- Research project: Investigate an emerging AI technology or methodology
- Knowledge sharing: Present your research findings to the team and broader community
- Peer mentoring: Support newer apprentices as they begin their journey
- Final evaluation: Demonstrate mastery through a capstone project and comprehensive review
Prerequisites and expectations
This program assumes you already have:
- Solid programming foundation: Comfortable with at least one programming language and basic software development concepts
- Understanding of web development: Experience with APIs, databases, and modern development workflows
- Professional experience: Some background working in software teams or client-facing environments
- Growth mindset: Eagerness to learn rapidly and adapt to new technologies
- Communication skills: Ability to explain technical concepts clearly
We're looking for engineers who are ready to level up, not beginners who need to learn programming from scratch.
How to apply
This program is intensive and selective. We're looking for engineers who:
- Have the technical foundation to hit the ground running
- Want to become leaders in the AI revolution
- Are excited about the consulting and client delivery aspects of AI work
- Can commit fully to six months of intensive learning and growth
The AI landscape moves fast, and so do we. If you're ready to master the future of software development, submit your application through this form.
We'll review your background, assess your current skills, and determine if you're ready for this accelerated journey into AI engineering excellence.
Ready to start building the future? The applications are open, and the future is waiting.
